This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0d_thru2024_8e+05_2025-11-02 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9956
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for $P_{(black)ayu}$ for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

$**Figure 27.**- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.$

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.3793103

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.05 while 0.95 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_black	11	18	2	0.879	0.917	0.558	0.988	1.011	0.113	-0.337	CSEO
p_yellow	13	1	1	0.420	0.363	0.126	0.980	1.057	0.225	0.254	NSEI
p_yellow	13	1	2	0.424	0.371	0.133	0.978	1.054	0.223	0.238	NSEI
p_yellow	13	10	1	0.423	0.369	0.126	0.980	1.051	0.225	0.240	NSEI
p_yellow	13	10	2	0.424	0.370	0.126	0.978	1.062	0.225	0.241	NSEI
p_yellow	13	11	1	0.416	0.362	0.124	0.979	1.053	0.227	0.237	NSEI
p_yellow	13	11	2	0.420	0.361	0.123	0.978	1.051	0.225	0.262	NSEI
p_yellow	13	12	1	0.422	0.371	0.126	0.976	1.055	0.223	0.228	NSEI
p_yellow	13	12	2	0.426	0.380	0.127	0.977	1.052	0.224	0.206	NSEI
p_yellow	13	13	1	0.422	0.371	0.131	0.977	1.055	0.222	0.230	NSEI
p_yellow	13	13	2	0.427	0.374	0.128	0.981	1.049	0.222	0.238	NSEI
p_yellow	13	14	1	0.418	0.367	0.117	0.977	1.056	0.225	0.227	NSEI
p_yellow	13	14	2	0.427	0.372	0.131	0.975	1.057	0.223	0.247	NSEI
p_yellow	13	15	1	0.416	0.362	0.128	0.978	1.060	0.223	0.242	NSEI
p_yellow	13	15	2	0.419	0.359	0.128	0.982	1.055	0.223	0.269	NSEI
p_yellow	13	16	1	0.421	0.366	0.125	0.979	1.052	0.224	0.245	NSEI
p_yellow	13	16	2	0.422	0.370	0.124	0.976	1.054	0.223	0.233	NSEI
p_yellow	13	17	1	0.417	0.361	0.125	0.976	1.054	0.223	0.251	NSEI
p_yellow	13	17	2	0.428	0.377	0.125	0.977	1.053	0.223	0.229	NSEI
p_yellow	13	18	1	0.421	0.368	0.119	0.979	1.056	0.225	0.236	NSEI
p_yellow	13	18	2	0.421	0.371	0.119	0.978	1.050	0.224	0.223	NSEI
p_yellow	13	19	1	0.420	0.367	0.117	0.975	1.050	0.224	0.237	NSEI
p_yellow	13	19	2	0.426	0.374	0.132	0.979	1.054	0.223	0.233	NSEI
p_yellow	13	2	1	0.423	0.370	0.121	0.978	1.057	0.225	0.236	NSEI
p_yellow	13	2	2	0.424	0.370	0.127	0.980	1.060	0.224	0.241	NSEI
p_yellow	13	20	1	0.418	0.363	0.124	0.980	1.052	0.224	0.246	NSEI
p_yellow	13	20	2	0.423	0.365	0.130	0.979	1.055	0.223	0.260	NSEI
p_yellow	13	21	1	0.419	0.364	0.126	0.977	1.057	0.223	0.247	NSEI
p_yellow	13	21	2	0.423	0.365	0.133	0.980	1.052	0.224	0.259	NSEI
p_yellow	13	22	1	0.418	0.362	0.121	0.979	1.057	0.223	0.251	NSEI
p_yellow	13	22	2	0.420	0.367	0.124	0.976	1.053	0.222	0.239	NSEI
p_yellow	13	23	1	0.388	0.333	0.100	0.972	1.060	0.228	0.241	NSEI
p_yellow	13	23	2	0.472	0.429	0.155	0.983	1.040	0.217	0.198	NSEI
p_yellow	13	24	1	0.387	0.328	0.100	0.974	1.063	0.227	0.260	NSEI
p_yellow	13	24	2	0.470	0.426	0.155	0.982	1.052	0.218	0.202	NSEI
p_yellow	13	25	1	0.386	0.332	0.100	0.975	1.058	0.224	0.241	NSEI
p_yellow	13	25	2	0.470	0.431	0.152	0.982	1.051	0.218	0.179	NSEI
p_yellow	13	26	1	0.382	0.320	0.103	0.971	1.053	0.227	0.274	NSEI
p_yellow	13	26	2	0.466	0.428	0.152	0.981	1.050	0.217	0.175	NSEI
p_yellow	13	27	1	0.369	0.309	0.100	0.969	1.058	0.221	0.272	NSEI
p_yellow	13	27	2	0.462	0.419	0.154	0.981	1.042	0.215	0.200	NSEI
p_yellow	13	28	1	0.383	0.331	0.100	0.960	1.043	0.215	0.242	NSEI
p_yellow	13	28	2	0.465	0.429	0.155	0.975	1.038	0.210	0.171	NSEI
p_yellow	13	29	1	0.362	0.314	0.103	0.926	1.036	0.202	0.238	NSEI
p_yellow	13	29	2	0.456	0.423	0.151	0.953	1.035	0.201	0.164	NSEI
p_yellow	13	3	1	0.423	0.371	0.117	0.977	1.061	0.224	0.232	NSEI
p_yellow	13	3	2	0.423	0.369	0.126	0.980	1.054	0.224	0.242	NSEI
p_yellow	13	4	1	0.419	0.365	0.119	0.979	1.055	0.225	0.240	NSEI
p_yellow	13	4	2	0.424	0.368	0.123	0.980	1.053	0.226	0.248	NSEI
p_yellow	13	5	1	0.420	0.367	0.124	0.976	1.051	0.225	0.235	NSEI
p_yellow	13	5	2	0.422	0.367	0.127	0.978	1.043	0.226	0.244	NSEI
p_yellow	13	6	1	0.417	0.361	0.119	0.982	1.047	0.226	0.248	NSEI
p_yellow	13	6	2	0.425	0.375	0.120	0.979	1.054	0.225	0.222	NSEI
p_yellow	13	7	1	0.415	0.361	0.124	0.979	1.058	0.226	0.239	NSEI
p_yellow	13	7	2	0.426	0.373	0.125	0.979	1.063	0.221	0.239	NSEI
p_yellow	13	8	1	0.423	0.371	0.122	0.979	1.053	0.223	0.233	NSEI
p_yellow	13	8	2	0.424	0.371	0.125	0.978	1.053	0.224	0.236	NSEI
p_yellow	13	9	1	0.419	0.367	0.124	0.980	1.053	0.222	0.234	NSEI
p_yellow	13	9	2	0.421	0.366	0.128	0.977	1.051	0.224	0.245	NSEI
p_yellow	14	1	1	0.579	0.559	0.249	0.984	1.018	0.190	0.106	NSEO
p_yellow	14	1	2	0.618	0.610	0.292	0.989	1.017	0.181	0.044	NSEO
p_yellow	14	10	1	0.579	0.563	0.262	0.983	1.012	0.186	0.086	NSEO
p_yellow	14	10	2	0.617	0.606	0.296	0.987	1.012	0.181	0.061	NSEO
p_yellow	14	11	1	0.578	0.563	0.251	0.983	1.013	0.187	0.080	NSEO
p_yellow	14	11	2	0.621	0.616	0.275	0.989	1.010	0.184	0.027	NSEO
p_yellow	14	12	1	0.581	0.569	0.254	0.984	1.012	0.187	0.064	NSEO
p_yellow	14	12	2	0.621	0.614	0.288	0.989	1.012	0.180	0.039	NSEO
p_yellow	14	13	1	0.580	0.569	0.244	0.983	1.014	0.189	0.058	NSEO
p_yellow	14	14	1	0.580	0.571	0.250	0.986	1.018	0.186	0.048	NSEO
p_yellow	14	14	2	0.619	0.609	0.283	0.987	1.010	0.181	0.055	NSEO
p_yellow	14	15	1	0.578	0.561	0.252	0.985	1.017	0.189	0.090	NSEO
p_yellow	14	15	2	0.620	0.615	0.289	0.988	1.010	0.181	0.028	NSEO
p_yellow	14	16	1	0.580	0.562	0.253	0.984	1.010	0.190	0.095	NSEO
p_yellow	14	17	1	0.577	0.563	0.249	0.984	1.013	0.190	0.074	NSEO
p_yellow	14	17	2	0.615	0.607	0.275	0.987	1.015	0.186	0.043	NSEO
p_yellow	14	18	1	0.573	0.554	0.250	0.984	1.013	0.188	0.101	NSEO
p_yellow	14	18	2	0.618	0.611	0.288	0.989	1.015	0.180	0.039	NSEO
p_yellow	14	19	1	0.580	0.560	0.241	0.987	1.017	0.188	0.106	NSEO
p_yellow	14	19	2	0.622	0.613	0.294	0.988	1.012	0.181	0.050	NSEO
p_yellow	14	2	1	0.582	0.569	0.254	0.986	1.013	0.188	0.069	NSEO
p_yellow	14	20	1	0.579	0.564	0.258	0.986	1.012	0.187	0.080	NSEO
p_yellow	14	21	1	0.578	0.565	0.255	0.986	1.016	0.188	0.069	NSEO
p_yellow	14	21	2	0.617	0.609	0.283	0.989	1.014	0.183	0.044	NSEO
p_yellow	14	22	1	0.583	0.569	0.259	0.985	1.016	0.185	0.076	NSEO
p_yellow	14	22	2	0.620	0.609	0.298	0.988	1.010	0.181	0.061	NSEO
p_yellow	14	23	2	0.622	0.612	0.287	0.990	1.011	0.180	0.055	NSEO
p_yellow	14	24	1	0.608	0.599	0.292	0.983	1.011	0.174	0.052	NSEO
p_yellow	14	24	2	0.621	0.613	0.293	0.988	1.014	0.183	0.044	NSEO
p_yellow	14	25	1	0.594	0.579	0.272	0.986	1.016	0.179	0.084	NSEO
p_yellow	14	25	2	0.616	0.606	0.280	0.989	1.012	0.185	0.054	NSEO
p_yellow	14	26	1	0.588	0.574	0.260	0.987	1.013	0.186	0.075	NSEO
p_yellow	14	26	2	0.618	0.612	0.280	0.990	1.014	0.185	0.032	NSEO
p_yellow	14	27	1	0.602	0.593	0.264	0.986	1.012	0.182	0.049	NSEO
p_yellow	14	27	2	0.622	0.614	0.277	0.989	1.015	0.181	0.044	NSEO
p_yellow	14	28	1	0.584	0.571	0.260	0.983	1.013	0.181	0.072	NSEO
p_yellow	14	28	2	0.615	0.608	0.269	0.987	1.010	0.184	0.038	NSEO
p_yellow	14	29	1	0.584	0.576	0.242	0.971	1.011	0.182	0.044	NSEO
p_yellow	14	29	2	0.614	0.609	0.274	0.978	1.011	0.179	0.028	NSEO
p_yellow	14	3	1	0.577	0.565	0.248	0.986	1.016	0.192	0.063	NSEO
p_yellow	14	3	2	0.625	0.619	0.292	0.989	1.012	0.178	0.034	NSEO
p_yellow	14	4	1	0.579	0.566	0.243	0.984	1.012	0.190	0.069	NSEO
p_yellow	14	4	2	0.620	0.612	0.284	0.988	1.014	0.182	0.044	NSEO
p_black	14	4	1	0.920	0.947	0.682	0.993	1.013	0.083	-0.324	NSEO
p_yellow	14	5	1	0.579	0.568	0.250	0.985	1.013	0.191	0.058	NSEO
p_yellow	14	5	2	0.620	0.611	0.296	0.988	1.015	0.180	0.050	NSEO
p_yellow	14	6	1	0.577	0.561	0.254	0.984	1.011	0.187	0.086	NSEO
p_yellow	14	6	2	0.623	0.620	0.291	0.988	1.011	0.182	0.017	NSEO
p_yellow	14	7	1	0.576	0.560	0.248	0.986	1.014	0.190	0.084	NSEO
p_yellow	14	7	2	0.619	0.613	0.287	0.987	1.015	0.184	0.033	NSEO
p_yellow	14	8	2	0.621	0.614	0.283	0.990	1.013	0.182	0.038	NSEO
p_yellow	14	9	1	0.578	0.560	0.256	0.985	1.014	0.188	0.096	NSEO
p_yellow	14	9	2	0.620	0.609	0.295	0.988	1.015	0.181	0.061	NSEO
p_pelagic	16	1	1	0.370	0.363	0.120	0.656	1.052	0.145	0.048	SSEO
p_pelagic	16	1	2	0.349	0.340	0.108	0.638	1.052	0.142	0.063	SSEO
p_pelagic	16	10	1	0.372	0.364	0.130	0.664	1.036	0.141	0.057	SSEO
p_pelagic	16	10	2	0.353	0.344	0.117	0.641	1.048	0.140	0.064	SSEO
p_pelagic	16	11	1	0.375	0.369	0.132	0.670	1.045	0.143	0.042	SSEO
p_pelagic	16	11	2	0.357	0.349	0.115	0.643	1.054	0.140	0.057	SSEO
p_pelagic	16	12	1	0.377	0.371	0.134	0.661	1.039	0.139	0.043	SSEO
p_pelagic	16	12	2	0.356	0.348	0.114	0.630	1.053	0.136	0.059	SSEO
p_pelagic	16	13	1	0.380	0.373	0.141	0.663	1.039	0.139	0.051	SSEO
p_pelagic	16	13	2	0.361	0.351	0.127	0.641	1.051	0.135	0.074	SSEO
p_pelagic	16	14	1	0.365	0.358	0.137	0.638	1.039	0.132	0.053	SSEO
p_pelagic	16	14	2	0.358	0.350	0.131	0.626	1.039	0.132	0.060	SSEO
p_pelagic	16	15	1	0.373	0.364	0.141	0.654	1.028	0.133	0.068	SSEO
p_pelagic	16	15	2	0.359	0.351	0.128	0.640	1.051	0.132	0.061	SSEO
p_pelagic	16	16	1	0.369	0.357	0.137	0.649	1.035	0.136	0.088	SSEO
p_pelagic	16	16	2	0.362	0.347	0.140	0.638	1.026	0.132	0.114	SSEO
p_pelagic	16	17	1	0.421	0.417	0.188	0.683	1.029	0.130	0.031	SSEO
p_pelagic	16	17	2	0.378	0.368	0.145	0.654	1.036	0.134	0.075	SSEO
p_pelagic	16	18	1	0.406	0.400	0.172	0.672	1.032	0.133	0.045	SSEO
p_pelagic	16	18	2	0.374	0.369	0.149	0.651	1.027	0.133	0.038	SSEO
p_pelagic	16	19	1	0.400	0.393	0.175	0.662	1.024	0.128	0.055	SSEO
p_pelagic	16	19	2	0.379	0.371	0.160	0.649	1.022	0.129	0.062	SSEO
p_pelagic	16	2	1	0.366	0.361	0.119	0.658	1.051	0.143	0.035	SSEO
p_pelagic	16	2	2	0.348	0.341	0.107	0.633	1.056	0.141	0.050	SSEO
p_pelagic	16	20	1	0.400	0.395	0.178	0.661	1.014	0.127	0.039	SSEO
p_pelagic	16	20	2	0.387	0.380	0.161	0.647	1.018	0.128	0.055	SSEO
p_pelagic	16	21	1	0.388	0.380	0.168	0.659	1.019	0.127	0.063	SSEO
p_pelagic	16	21	2	0.380	0.373	0.161	0.645	1.022	0.126	0.056	SSEO
p_pelagic	16	22	2	0.387	0.383	0.167	0.645	1.011	0.123	0.033	SSEO
p_pelagic	16	3	1	0.368	0.361	0.122	0.659	1.048	0.143	0.049	SSEO
p_pelagic	16	3	2	0.348	0.338	0.110	0.627	1.064	0.141	0.071	SSEO
p_dsr	16	31	1	0.402	0.401	0.376	0.433	1.665	0.015	0.066	SSEO
p_pelagic	16	4	1	0.367	0.362	0.120	0.660	1.048	0.143	0.035	SSEO
p_pelagic	16	4	2	0.351	0.344	0.103	0.648	1.050	0.143	0.049	SSEO
p_pelagic	16	42	1	0.832	0.832	0.826	0.839	1.113	0.003	0.000	SSEO
p_yellow	16	42	1	0.404	0.404	0.384	0.427	1.050	0.011	0.000	SSEO
p_dsr	16	42	1	0.469	0.479	0.412	0.514	3.649	0.030	-0.330	SSEO
p_slope	16	42	1	0.145	0.132	0.106	0.204	4.992	0.032	0.411	SSEO
p_pelagic	16	5	1	0.367	0.360	0.118	0.662	1.052	0.145	0.048	SSEO
p_pelagic	16	5	2	0.350	0.343	0.112	0.641	1.048	0.140	0.050	SSEO
p_pelagic	16	6	1	0.369	0.361	0.127	0.654	1.066	0.142	0.056	SSEO
p_pelagic	16	6	2	0.348	0.342	0.107	0.631	1.062	0.140	0.043	SSEO
p_pelagic	16	7	1	0.372	0.366	0.121	0.665	1.053	0.143	0.042	SSEO
p_pelagic	16	7	2	0.349	0.344	0.109	0.634	1.056	0.140	0.036	SSEO
p_pelagic	16	8	1	0.371	0.363	0.122	0.658	1.060	0.143	0.056	SSEO
p_pelagic	16	8	2	0.346	0.338	0.113	0.642	1.042	0.140	0.057	SSEO
p_pelagic	16	9	1	0.372	0.365	0.128	0.663	1.050	0.141	0.050	SSEO
p_pelagic	16	9	2	0.355	0.349	0.115	0.647	1.048	0.141	0.042	SSEO
p_black	8	40	1	0.475	0.416	0.340	0.962	1.024	0.176	0.335	afognak
p_black	8	48	1	0.534	0.494	0.414	0.967	1.017	0.141	0.283	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
tau_beta1_pH	1	1	6.567	1.008	0.060	55.310	1.158	14.540	0.382	CI
beta3_pH	10	1	33.008	32.518	30.371	43.355	1.311	2.484	0.197	northeast
beta2_yellow	13		-7.169	-6.655	-19.459	-0.397	1.113	5.377	-0.096	NSEI
beta3_pH	16	4	41.524	41.514	40.904	42.322	1.203	0.376	0.027	SSEO
beta0_pelagic	16		-0.618	-0.495	-1.664	0.024	1.171	0.474	-0.259	SSEO
beta1_pelagic	16		1.816	1.713	0.831	3.050	1.224	0.657	0.157	SSEO
beta0_pH	2	1	1.562	1.508	1.090	2.047	2.901	0.273	0.198	NG
beta1_pH	2	1	1.329	1.443	0.432	2.399	2.891	0.561	-0.203	NG

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	418.00	183.00	1,001.00	343.00
Prop. of total	0.70	0.30	0.74	0.26
Prop. median less than 1	0.32	0.27	0.34	0.41
Prop. median less than 10	0.46	0.60	0.55	0.77
Prop. median less than 50	0.61	0.85	0.71	0.83
Median of the median values	16.59	6.73	5.84	1.80
Mean of the median values	408.74	94.17	218.02	89.32
Mean skew of posteriors	0.26	0.28	0.27	0.24

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	6.00	10.00	65.00	34.00
Prop. of total	0.38	0.62	0.66	0.34
Prop. median less than 1	1.00	0.40	0.69	0.65
Prop. median less than 10	1.00	0.90	0.82	0.94
Prop. median less than 50	1.00	1.00	0.85	0.94
Median of the median values	0.00	1.37	0.04	0.26
Mean of the median values	0.01	3.71	142.91	5.54
Mean skew of posteriors	0.17	0.21	0.16	0.17

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_pelagic	1
beta0_pH	1
beta1_pelagic	1
beta1_pH	1
beta2_yellow	1
beta3_pH	2
H_ayg	1
Hb_ay	1
Hb_ayg	1
Hb_ayu	1
Hd_ay	1
Hd_ayg	2
Ho_ay	2
Ho_ayg	1
Ho_ayu	7
Hp_ay	1
Hp_ayg	1
Hp_ayu	1
Hs_ay	2
Hs_ayg	2
Hs_ayu	3
Hy_ay	3
Hy_ayu	3
p_dsr	2
p_pelagic	1
p_slope	3
pH	19
R_ay	1
R_ayg	2
R_ayu	1
Rb_ayg	2
Rd_ay	6
Rd_ayg	6
Rd_ayu	6
re_dsr	2
re_pH	60
re_slope	2
Ro_ay	20
Ro_ayg	11
Ro_ayu	47
Rp_ayg	1
Rs_ay	9
Rs_ayg	9
Rs_ayu	19
Ry_ay	11
Ry_ayg	4
Ry_ayu	21
tau_beta1_pH	1

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.017	0.067	-0.143	-0.019	0.123
mu_bc_H[2]	0.068	0.053	-0.032	0.066	0.180
mu_bc_H[3]	-0.275	0.066	-0.403	-0.278	-0.141
mu_bc_H[4]	-0.931	0.182	-1.293	-0.928	-0.583
mu_bc_H[5]	1.388	1.232	0.094	1.091	4.525
mu_bc_H[6]	-2.395	0.306	-2.973	-2.399	-1.780
mu_bc_H[7]	-0.451	0.099	-0.656	-0.450	-0.258
mu_bc_H[8]	0.237	0.343	-0.341	0.210	1.020
mu_bc_H[9]	-0.249	0.124	-0.485	-0.251	0.003
mu_bc_H[10]	0.055	0.065	-0.071	0.053	0.188
mu_bc_H[11]	-0.126	0.037	-0.199	-0.125	-0.052
mu_bc_H[12]	-0.249	0.107	-0.470	-0.245	-0.041
mu_bc_H[13]	-0.160	0.073	-0.305	-0.162	-0.016
mu_bc_H[14]	-0.308	0.090	-0.488	-0.306	-0.137
mu_bc_H[15]	-0.333	0.046	-0.418	-0.334	-0.239
mu_bc_H[16]	-0.156	0.371	-0.801	-0.183	0.661
mu_bc_R[1]	1.044	0.120	0.802	1.045	1.283
mu_bc_R[2]	1.018	0.075	0.867	1.021	1.162
mu_bc_R[3]	0.243	0.093	0.052	0.247	0.417
mu_bc_R[4]	0.677	0.200	0.271	0.685	1.049
mu_bc_R[5]	1.689	0.381	0.946	1.698	2.428
mu_bc_R[6]	-1.436	0.334	-2.075	-1.435	-0.779
mu_bc_R[7]	0.513	0.169	0.162	0.518	0.836
mu_bc_R[8]	0.648	0.149	0.369	0.642	0.943
mu_bc_R[9]	0.401	0.167	0.048	0.409	0.704
mu_bc_R[10]	0.904	0.105	0.701	0.902	1.108
mu_bc_R[11]	1.105	0.074	0.961	1.107	1.256
mu_bc_R[12]	0.880	0.162	0.565	0.883	1.202
mu_bc_R[13]	1.042	0.091	0.859	1.045	1.218
mu_bc_R[14]	0.866	0.123	0.614	0.867	1.104
mu_bc_R[15]	0.806	0.095	0.622	0.808	0.990
mu_bc_R[16]	1.360	0.115	1.124	1.362	1.583
tau_pH[1]	2.398	0.191	2.031	2.394	2.784
tau_pH[2]	1.630	0.155	1.350	1.622	1.952
tau_pH[3]	1.217	0.113	1.008	1.212	1.454
tau_pH[4]	1.090	0.147	0.832	1.078	1.411
tau_pH[5]	0.439	0.078	0.304	0.433	0.603
beta0_pH[1,1]	0.549	0.181	0.168	0.557	0.871
beta0_pH[2,1]	1.562	0.273	1.090	1.508	2.047
beta0_pH[3,1]	1.421	0.213	0.907	1.440	1.783
beta0_pH[4,1]	1.605	0.235	1.101	1.620	2.023
beta0_pH[5,1]	-0.771	0.406	-1.722	-0.723	-0.140
beta0_pH[6,1]	-0.524	0.494	-1.942	-0.381	0.080
beta0_pH[7,1]	0.758	0.011	0.737	0.758	0.779
beta0_pH[8,1]	-0.526	0.338	-1.308	-0.499	-0.006
beta0_pH[9,1]	-0.293	0.288	-0.911	-0.272	0.211
beta0_pH[10,1]	0.250	0.241	-0.298	0.265	0.668
beta0_pH[11,1]	0.122	0.275	-0.433	0.122	0.628
beta0_pH[12,1]	0.620	0.193	0.208	0.625	0.983
beta0_pH[13,1]	-0.665	0.145	-0.972	-0.659	-0.397
beta0_pH[14,1]	0.023	0.181	-0.344	0.024	0.358
beta0_pH[15,1]	0.066	0.201	-0.402	0.082	0.415
beta0_pH[16,1]	-0.863	0.215	-1.319	-0.856	-0.458
beta0_pH[1,2]	2.563	0.082	2.404	2.562	2.732
beta0_pH[2,2]	3.079	0.022	3.038	3.079	3.122
beta0_pH[3,2]	3.624	0.040	3.546	3.624	3.703
beta0_pH[4,2]	2.936	0.019	2.899	2.935	2.973
beta0_pH[5,2]	4.551	1.515	2.782	4.210	8.468
beta0_pH[6,2]	3.324	0.156	3.029	3.322	3.642
beta0_pH[7,2]	2.034	0.050	1.938	2.034	2.133
beta0_pH[8,2]	2.822	0.066	2.698	2.820	2.957
beta0_pH[9,2]	3.951	0.213	3.544	3.946	4.394
beta0_pH[10,2]	3.994	0.130	3.749	3.991	4.252
beta0_pH[11,2]	1.885	0.009	1.868	1.886	1.903
beta0_pH[12,2]	1.792	0.066	1.665	1.791	1.925
beta0_pH[13,2]	2.497	0.027	2.446	2.498	2.551
beta0_pH[14,2]	1.803	0.024	1.757	1.803	1.850
beta0_pH[15,2]	2.545	0.017	2.512	2.544	2.577
beta0_pH[16,2]	2.766	0.025	2.716	2.765	2.815
beta0_pH[1,3]	1.121	0.351	0.229	1.181	1.666
beta0_pH[2,3]	2.127	0.017	2.092	2.126	2.160
beta0_pH[3,3]	2.692	0.024	2.644	2.692	2.739
beta0_pH[4,3]	2.979	0.034	2.911	2.979	3.047
beta0_pH[5,3]	3.346	2.136	0.909	2.858	8.998
beta0_pH[6,3]	1.356	0.374	0.723	1.328	2.164
beta0_pH[7,3]	0.860	0.049	0.762	0.859	0.957
beta0_pH[8,3]	0.250	0.301	-0.300	0.282	0.620
beta0_pH[9,3]	-2.098	1.043	-4.509	-1.992	-0.368
beta0_pH[10,3]	-0.435	0.837	-2.455	-0.327	0.877
beta0_pH[11,3]	1.096	0.511	0.027	1.130	2.026
beta0_pH[12,3]	0.947	0.652	-0.295	0.946	2.207
beta0_pH[13,3]	0.999	0.481	-0.063	1.013	1.912
beta0_pH[14,3]	0.565	0.430	-0.355	0.595	1.324
beta0_pH[15,3]	0.719	0.413	-0.180	0.742	1.487
beta0_pH[16,3]	1.185	0.606	0.014	1.161	2.404
beta0_pH[11,4]	0.863	0.461	-0.129	0.893	1.709
beta0_pH[12,4]	0.843	0.668	-0.491	0.825	2.175
beta0_pH[13,4]	0.624	0.539	-0.635	0.689	1.492
beta0_pH[14,4]	0.385	0.429	-0.536	0.415	1.134
beta0_pH[15,4]	0.535	0.527	-0.606	0.608	1.413
beta0_pH[16,4]	0.797	0.553	-0.317	0.791	1.901
beta0_pH[11,5]	2.970	0.153	2.691	2.963	3.284
beta0_pH[12,5]	-0.895	0.507	-1.958	-0.883	0.037
beta0_pH[13,5]	4.896	0.413	4.116	4.876	5.767
beta0_pH[14,5]	3.878	0.363	3.204	3.854	4.633
beta0_pH[15,5]	2.288	0.122	2.054	2.284	2.533
beta0_pH[16,5]	0.269	0.068	0.168	0.259	0.435
beta1_pH[1,1]	2.569	0.469	1.817	2.510	3.775
beta1_pH[2,1]	1.329	0.561	0.432	1.443	2.399
beta1_pH[3,1]	1.755	0.425	1.070	1.709	2.832
beta1_pH[4,1]	1.834	0.414	1.123	1.798	2.750
beta1_pH[5,1]	2.299	0.529	1.467	2.244	3.596
beta1_pH[6,1]	2.085	0.791	1.048	1.883	4.169
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.349	0.917	1.179	2.100	4.559
beta1_pH[9,1]	2.049	0.676	1.161	1.920	4.020
beta1_pH[10,1]	2.161	0.514	1.332	2.111	3.398
beta1_pH[11,1]	3.268	0.460	2.488	3.215	4.344
beta1_pH[12,1]	2.910	0.286	2.365	2.910	3.474
beta1_pH[13,1]	3.474	0.245	3.020	3.466	3.975
beta1_pH[14,1]	2.814	0.324	2.209	2.802	3.504
beta1_pH[15,1]	2.383	0.290	1.870	2.363	3.045
beta1_pH[16,1]	4.015	0.299	3.450	4.016	4.624
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	1.904	1.116	0.076	1.783	4.706
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.714	2.406	0.792	4.256	10.812
beta1_pH[9,3]	7.257	2.671	3.242	6.817	13.412
beta1_pH[10,3]	6.326	2.587	2.736	5.768	12.409
beta1_pH[11,3]	2.198	0.552	1.162	2.194	3.311
beta1_pH[12,3]	3.274	0.663	2.049	3.256	4.625
beta1_pH[13,3]	1.999	0.513	0.988	1.997	3.076
beta1_pH[14,3]	2.219	0.485	1.333	2.194	3.218
beta1_pH[15,3]	2.107	0.478	1.220	2.084	3.115
beta1_pH[16,3]	3.703	0.660	2.369	3.730	4.982
beta1_pH[11,4]	1.940	0.514	0.941	1.932	2.959
beta1_pH[12,4]	3.210	0.676	1.885	3.199	4.617
beta1_pH[13,4]	1.384	0.554	0.427	1.336	2.645
beta1_pH[14,4]	1.994	0.497	1.068	1.975	3.030
beta1_pH[15,4]	1.472	0.568	0.477	1.435	2.644
beta1_pH[16,4]	3.670	0.641	2.366	3.691	4.935
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.244	0.838	0.335	0.942	3.407
beta2_pH[2,1]	1.780	0.970	0.297	1.686	3.448
beta2_pH[3,1]	1.445	0.838	0.224	1.325	2.959
beta2_pH[4,1]	1.229	0.828	0.242	0.951	2.954
beta2_pH[5,1]	2.322	2.769	0.264	1.466	10.454
beta2_pH[6,1]	1.504	2.765	0.114	0.476	9.699
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	1.314	2.367	0.128	0.417	9.473
beta2_pH[9,1]	1.485	2.427	0.143	0.580	9.662
beta2_pH[10,1]	1.413	2.417	-1.725	0.778	9.486
beta2_pH[11,1]	0.437	0.239	0.195	0.376	0.999
beta2_pH[12,1]	1.550	0.811	0.595	1.286	3.624
beta2_pH[13,1]	1.031	0.454	0.543	0.917	2.309
beta2_pH[14,1]	1.170	0.689	0.449	0.957	3.272
beta2_pH[15,1]	1.061	0.654	0.353	0.873	3.044
beta2_pH[16,1]	1.055	0.331	0.628	0.993	1.858
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	7.024	6.875	0.167	5.548	22.760
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	1.391	1.099	0.129	1.066	4.203
beta2_pH[9,3]	0.307	0.492	0.089	0.202	1.187
beta2_pH[10,3]	0.442	0.690	0.109	0.270	2.006
beta2_pH[11,3]	-5.869	4.595	-17.625	-4.626	-0.592
beta2_pH[12,3]	-6.640	4.498	-17.968	-5.585	-1.229
beta2_pH[13,3]	-6.090	4.535	-18.011	-4.758	-1.074
beta2_pH[14,3]	-6.066	4.436	-18.014	-4.771	-1.163
beta2_pH[15,3]	-6.263	4.347	-17.555	-5.079	-1.116
beta2_pH[16,3]	-6.257	4.375	-17.881	-4.919	-1.546
beta2_pH[11,4]	-6.192	4.464	-17.347	-5.036	-0.797
beta2_pH[12,4]	-6.493	4.502	-17.701	-5.301	-1.161
beta2_pH[13,4]	-6.184	4.459	-17.266	-4.999	-0.847
beta2_pH[14,4]	-6.280	4.370	-17.660	-5.056	-1.215
beta2_pH[15,4]	-6.246	4.529	-17.669	-5.021	-0.840
beta2_pH[16,4]	-6.654	4.217	-17.378	-5.581	-1.648
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.922	1.122	32.834	34.928	37.362
beta3_pH[2,1]	32.715	1.597	29.633	32.660	36.202
beta3_pH[3,1]	33.006	1.517	30.083	32.979	36.497
beta3_pH[4,1]	32.640	1.779	29.512	32.552	36.365
beta3_pH[5,1]	27.692	1.225	25.970	27.531	31.065
beta3_pH[6,1]	32.978	3.145	25.607	33.112	39.792
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.885	3.851	28.932	36.513	42.231
beta3_pH[9,1]	32.490	2.967	27.755	32.000	39.785
beta3_pH[10,1]	33.008	2.484	30.371	32.518	43.355
beta3_pH[11,1]	31.393	1.144	29.366	31.375	33.636
beta3_pH[12,1]	30.780	0.492	29.776	30.805	31.744
beta3_pH[13,1]	31.423	0.548	30.363	31.408	32.581
beta3_pH[14,1]	32.471	0.738	31.233	32.416	34.068
beta3_pH[15,1]	30.974	0.726	29.467	31.006	32.321
beta3_pH[16,1]	30.127	0.354	29.423	30.132	30.818
beta3_pH[1,2]	34.428	5.546	25.500	34.477	43.545
beta3_pH[2,2]	34.479	5.521	25.438	34.607	43.471
beta3_pH[3,2]	30.258	7.239	18.619	30.064	42.284
beta3_pH[4,2]	30.501	7.101	18.681	30.557	42.277
beta3_pH[5,2]	30.434	7.217	18.563	30.349	42.406
beta3_pH[6,2]	30.368	7.259	18.619	30.376	42.212
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	38.446	3.219	30.512	39.648	42.669
beta3_pH[2,3]	34.530	5.466	25.432	34.617	43.515
beta3_pH[3,3]	30.430	7.063	18.713	30.345	42.427
beta3_pH[4,3]	30.589	7.195	18.619	31.004	42.292
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.023	1.321	38.503	42.073	43.857
beta3_pH[9,3]	36.203	1.944	34.521	35.423	41.856
beta3_pH[10,3]	37.788	2.502	34.632	37.083	43.286
beta3_pH[11,3]	40.722	1.077	38.909	40.735	42.719
beta3_pH[12,3]	42.019	0.730	40.310	42.258	42.851
beta3_pH[13,3]	41.361	0.720	39.931	41.364	42.730
beta3_pH[14,3]	40.488	0.669	39.130	40.523	41.780
beta3_pH[15,3]	40.637	0.642	39.160	40.654	41.849
beta3_pH[16,3]	41.840	0.373	41.030	41.903	42.548
beta3_pH[11,4]	40.557	1.079	38.719	40.451	42.993
beta3_pH[12,4]	41.898	0.791	40.288	42.150	42.908
beta3_pH[13,4]	41.868	1.102	39.721	41.929	43.780
beta3_pH[14,4]	40.434	0.712	38.973	40.467	41.725
beta3_pH[15,4]	41.317	1.085	39.045	41.269	43.384
beta3_pH[16,4]	41.524	0.376	40.904	41.514	42.322
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.264	0.021	0.224	0.264	0.305
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.172	0.007	0.159	0.172	0.186
beta4_pH[4,1]	0.294	0.011	0.271	0.294	0.316
beta4_pH[5,1]	0.422	0.271	0.092	0.388	0.937
beta4_pH[6,1]	0.787	0.382	0.343	0.738	1.484
beta4_pH[7,1]	0.843	0.335	0.351	0.794	1.609
beta4_pH[8,1]	0.161	0.071	0.046	0.155	0.313
beta4_pH[9,1]	0.217	0.087	0.062	0.213	0.400
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.447	0.011	0.425	0.447	0.469
beta4_pH[12,1]	0.642	0.023	0.599	0.642	0.687
beta4_pH[13,1]	0.630	0.014	0.604	0.630	0.658
beta4_pH[14,1]	0.671	0.032	0.608	0.671	0.734
beta4_pH[15,1]	0.799	0.021	0.759	0.799	0.840
beta4_pH[16,1]	1.224	0.043	1.142	1.222	1.314
beta4_pH[1,2]	0.306	0.097	0.133	0.301	0.514
beta4_pH[2,2]	0.514	0.023	0.470	0.514	0.561
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.469
beta4_pH[4,2]	0.654	0.037	0.582	0.654	0.728
beta4_pH[5,2]	0.747	0.950	0.111	0.536	2.603
beta4_pH[6,2]	0.911	0.731	0.219	0.742	2.654
beta4_pH[7,2]	0.880	0.404	0.344	0.803	1.922
beta4_pH[8,2]	0.846	0.205	0.482	0.832	1.270
beta4_pH[9,2]	1.152	1.057	0.304	0.883	3.566
beta4_pH[10,2]	0.454	0.051	0.359	0.454	0.558
beta4_pH[11,2]	1.269	0.050	1.174	1.268	1.369
beta4_pH[12,2]	0.580	0.108	0.382	0.574	0.802
beta4_pH[13,2]	0.945	0.045	0.859	0.945	1.035
beta4_pH[14,2]	0.931	0.061	0.812	0.930	1.055
beta4_pH[15,2]	1.010	0.026	0.960	1.010	1.061
beta4_pH[16,2]	1.407	0.074	1.264	1.407	1.555
beta4_pH[1,3]	0.283	0.088	0.123	0.280	0.470
beta4_pH[2,3]	0.051	0.017	0.021	0.050	0.086
beta4_pH[3,3]	0.052	0.010	0.034	0.052	0.071
beta4_pH[4,3]	0.174	0.032	0.115	0.173	0.238
beta4_pH[5,3]	0.730	0.738	0.113	0.566	2.276
beta4_pH[6,3]	0.856	0.659	0.209	0.714	2.358
beta4_pH[7,3]	0.886	0.403	0.344	0.817	1.854
beta4_pH[8,3]	0.406	0.189	0.107	0.387	0.842
beta4_pH[9,3]	0.949	1.065	0.176	0.720	2.950
beta4_pH[10,3]	0.061	0.041	0.003	0.055	0.154
beta4_pH[11,3]	0.364	0.016	0.332	0.363	0.394
beta4_pH[12,3]	0.440	0.042	0.360	0.439	0.526
beta4_pH[13,3]	0.836	0.037	0.767	0.835	0.909
beta4_pH[14,3]	0.824	0.067	0.700	0.822	0.962
beta4_pH[15,3]	0.635	0.017	0.603	0.634	0.668
beta4_pH[16,3]	0.635	0.035	0.570	0.634	0.706
beta4_pH[1,4]	0.644	0.347	0.202	0.577	1.519
beta4_pH[2,4]	0.807	0.844	0.102	0.586	2.838
beta4_pH[3,4]	0.859	0.904	0.117	0.609	3.081
beta4_pH[4,4]	0.749	0.494	0.215	0.635	1.932
beta4_pH[5,4]	0.770	0.857	0.108	0.566	2.652
beta4_pH[6,4]	0.917	0.866	0.209	0.721	2.734
beta4_pH[7,4]	0.891	0.425	0.348	0.816	1.858
beta4_pH[8,4]	0.722	0.601	0.152	0.579	2.152
beta4_pH[9,4]	0.791	0.932	0.128	0.565	2.846
beta4_pH[10,4]	1.324	2.753	0.007	0.372	9.666
beta4_pH[11,4]	0.444	0.017	0.410	0.444	0.478
beta4_pH[12,4]	0.557	0.054	0.455	0.556	0.663
beta4_pH[13,4]	0.925	0.036	0.856	0.924	0.999
beta4_pH[14,4]	0.919	0.073	0.782	0.918	1.062
beta4_pH[15,4]	0.714	0.020	0.675	0.714	0.754
beta4_pH[16,4]	0.684	0.041	0.607	0.683	0.769
beta4_pH[1,5]	0.624	0.331	0.215	0.556	1.421
beta4_pH[2,5]	0.782	0.831	0.102	0.560	2.734
beta4_pH[3,5]	0.857	0.982	0.110	0.600	3.210
beta4_pH[4,5]	0.717	0.437	0.199	0.616	1.793
beta4_pH[5,5]	0.775	0.833	0.114	0.587	2.666
beta4_pH[6,5]	0.906	0.759	0.215	0.734	2.756
beta4_pH[7,5]	0.880	0.436	0.338	0.805	1.923
beta4_pH[8,5]	0.742	0.634	0.157	0.591	2.253
beta4_pH[9,5]	0.778	0.890	0.111	0.562	2.682
beta4_pH[10,5]	1.477	2.967	0.007	0.395	10.326
beta4_pH[11,5]	0.604	0.051	0.507	0.604	0.706
beta4_pH[12,5]	0.585	0.167	0.308	0.567	0.966
beta4_pH[13,5]	0.774	0.062	0.661	0.771	0.905
beta4_pH[14,5]	0.843	0.116	0.634	0.839	1.087
beta4_pH[15,5]	1.141	0.072	1.006	1.140	1.286
beta4_pH[16,5]	17.693	4.055	9.966	17.689	24.484
beta0_pelagic[1]	2.268	0.036	2.200	2.267	2.340
beta0_pelagic[2]	1.537	0.007	1.524	1.538	1.551
beta0_pelagic[3]	0.196	0.234	-0.338	0.243	0.560
beta0_pelagic[4]	0.230	0.218	-0.311	0.248	0.601
beta0_pelagic[5]	1.446	0.155	1.148	1.443	1.749
beta0_pelagic[6]	1.354	0.060	1.237	1.354	1.476
beta0_pelagic[7]	1.483	0.038	1.414	1.481	1.562
beta0_pelagic[8]	1.675	0.043	1.596	1.673	1.764
beta0_pelagic[9]	2.793	0.065	2.668	2.791	2.927
beta0_pelagic[10]	2.602	0.032	2.543	2.602	2.667
beta0_pelagic[11]	-0.136	0.164	-0.501	-0.121	0.153
beta0_pelagic[12]	1.801	0.036	1.735	1.800	1.874
beta0_pelagic[13]	-0.835	0.449	-1.661	-0.836	-0.004
beta0_pelagic[14]	-0.280	0.176	-0.667	-0.264	0.018
beta0_pelagic[15]	-0.215	0.039	-0.317	-0.198	-0.181
beta0_pelagic[16]	-0.618	0.474	-1.664	-0.495	0.024
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.749	0.251	0.318	0.728	1.345
beta1_pelagic[4]	0.818	0.243	0.395	0.802	1.408
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.150	0.235	0.741	1.130	1.698
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	2.574	0.578	1.323	2.635	3.451
beta1_pelagic[14]	1.784	0.443	1.107	1.712	2.921
beta1_pelagic[15]	0.130	0.197	0.000	0.021	0.669
beta1_pelagic[16]	1.816	0.657	0.831	1.713	3.050
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.378	5.958	0.233	4.630	21.151
beta2_pelagic[4]	7.503	5.921	0.356	6.311	21.346
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.807	1.527	0.276	1.291	6.103
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.201	0.102	0.104	0.175	0.472
beta2_pelagic[14]	0.884	0.945	0.202	0.585	3.764
beta2_pelagic[15]	2.632	1.870	0.170	2.331	7.072
beta2_pelagic[16]	0.603	0.913	0.111	0.285	3.734
beta3_pelagic[1]	28.733	3.855	22.406	28.660	35.187
beta3_pelagic[2]	28.745	3.905	22.276	28.746	35.197
beta3_pelagic[3]	27.789	2.705	23.306	28.031	32.161
beta3_pelagic[4]	26.113	1.303	23.330	26.272	28.833
beta3_pelagic[5]	29.494	6.707	18.659	29.563	40.311
beta3_pelagic[6]	29.596	6.596	18.559	29.715	40.409
beta3_pelagic[7]	29.588	6.606	18.655	29.763	40.382
beta3_pelagic[8]	29.743	6.524	18.591	29.999	40.408
beta3_pelagic[9]	29.461	6.666	18.597	29.330	40.377
beta3_pelagic[10]	29.638	6.580	18.678	29.782	40.448
beta3_pelagic[11]	30.204	1.116	28.121	30.158	32.513
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	31.661	3.873	25.181	31.370	39.688
beta3_pelagic[14]	34.243	1.710	31.522	34.027	38.325
beta3_pelagic[15]	34.636	5.778	23.731	35.949	41.749
beta3_pelagic[16]	30.891	3.268	24.789	30.901	38.281
beta0_yellow[1]	-0.482	0.078	-0.641	-0.484	-0.326
beta0_yellow[2]	0.547	0.080	0.360	0.551	0.687
beta0_yellow[3]	-0.214	0.129	-0.480	-0.219	0.013
beta0_yellow[4]	0.887	0.248	0.222	0.948	1.192
beta0_yellow[5]	0.260	0.322	-0.424	0.283	0.840
beta0_yellow[6]	0.819	0.106	0.614	0.819	1.029
beta0_yellow[7]	0.996	0.095	0.805	0.994	1.179
beta0_yellow[8]	1.026	0.094	0.840	1.026	1.205
beta0_yellow[9]	0.459	0.103	0.260	0.457	0.658
beta0_yellow[10]	0.537	0.070	0.400	0.537	0.675
beta0_yellow[11]	-0.192	0.125	-0.457	-0.182	0.019
beta0_yellow[12]	-1.082	0.093	-1.265	-1.081	-0.902
beta0_yellow[13]	-1.348	0.160	-1.689	-1.337	-1.069
beta0_yellow[14]	-0.253	0.172	-0.580	-0.233	-0.014
beta0_yellow[15]	-1.256	0.147	-1.623	-1.232	-1.038
beta0_yellow[16]	-0.252	0.092	-0.430	-0.254	-0.069
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.006	0.237	0.559	1.002	1.476
beta1_yellow[3]	0.478	0.240	0.022	0.485	0.921
beta1_yellow[4]	1.339	0.594	0.634	1.190	3.202
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.307	0.404	0.001	0.093	1.293
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.089	1.188	0.025	0.757	5.018
beta1_yellow[14]	0.742	1.069	0.013	0.415	4.327
beta1_yellow[15]	0.166	0.197	0.011	0.082	0.689
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-7.795	5.781	-21.678	-6.575	-0.481
beta2_yellow[3]	-7.590	5.686	-21.402	-6.383	-0.396
beta2_yellow[4]	-5.500	5.808	-20.065	-3.599	-0.128
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.969	5.913	-22.590	-6.759	-0.429
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-7.169	5.377	-19.459	-6.655	-0.397
beta2_yellow[14]	-7.320	5.555	-20.074	-6.003	-0.381
beta2_yellow[15]	-7.719	5.722	-21.233	-6.573	-0.364
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.852	1.110	27.329	28.651	31.764
beta3_yellow[3]	32.410	3.231	23.338	32.572	38.398
beta3_yellow[4]	29.946	3.300	23.867	28.719	35.769
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	34.365	3.523	29.572	33.470	42.360
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	33.795	2.804	29.222	33.908	40.483
beta3_yellow[14]	33.955	3.643	29.152	33.529	42.971
beta3_yellow[15]	36.649	3.881	30.343	36.458	43.587
beta3_yellow[16]	25.000	0.000	25.000	25.000	25.000
beta0_black[1]	0.011	0.075	-0.138	0.012	0.157
beta0_black[2]	1.855	0.031	1.795	1.855	1.919
beta0_black[3]	1.238	0.037	1.168	1.238	1.314
beta0_black[4]	2.424	0.048	2.333	2.422	2.520
beta0_black[5]	5.130	2.408	1.843	4.606	11.141
beta0_black[6]	5.212	2.225	2.626	4.626	11.187
beta0_black[7]	4.150	2.181	1.583	3.565	10.091
beta0_black[8]	0.879	0.215	0.483	0.870	1.328
beta0_black[9]	2.798	0.269	2.277	2.799	3.322
beta0_black[10]	1.287	0.052	1.183	1.289	1.386
beta0_black[11]	2.978	0.052	2.879	2.978	3.081
beta0_black[12]	4.913	0.192	4.532	4.910	5.297
beta0_black[13]	0.429	0.329	0.018	0.353	1.223
beta0_black[14]	2.853	0.106	2.637	2.855	3.054
beta0_black[15]	0.723	0.051	0.625	0.723	0.823
beta0_black[16]	3.772	0.072	3.629	3.772	3.913
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.545	1.803	-6.833	-2.136	-0.295
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.440	3.136	28.044	38.165	40.884
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.325	0.092	-0.500	-0.326	-0.139
beta4_black[2]	0.258	0.052	0.154	0.259	0.362
beta4_black[3]	-0.719	0.064	-0.848	-0.720	-0.595
beta4_black[4]	0.632	0.127	0.386	0.634	0.884
beta4_black[5]	0.704	1.302	-1.079	0.460	3.843
beta4_black[6]	0.847	1.401	-0.826	0.559	4.261
beta4_black[7]	0.727	1.295	-0.953	0.483	3.969
beta4_black[8]	0.089	0.276	-0.476	0.087	0.628
beta4_black[9]	1.028	0.830	-0.080	0.859	3.052
beta4_black[10]	0.073	0.067	-0.056	0.075	0.203
beta4_black[11]	-0.608	0.064	-0.731	-0.608	-0.485
beta4_black[12]	1.234	0.294	0.686	1.225	1.853
beta4_black[13]	-1.004	0.077	-1.152	-1.003	-0.856
beta4_black[14]	0.220	0.184	-0.140	0.218	0.592
beta4_black[15]	0.002	0.046	-0.089	0.002	0.093
beta4_black[16]	-0.416	0.117	-0.647	-0.417	-0.184
beta0_dsr[11]	-0.329	0.010	-0.348	-0.328	-0.310
beta0_dsr[12]	1.409	0.043	1.327	1.408	1.496
beta0_dsr[13]	0.155	0.022	0.112	0.154	0.198
beta0_dsr[14]	-0.126	0.017	-0.160	-0.127	-0.093
beta0_dsr[15]	0.206	0.014	0.178	0.206	0.233
beta0_dsr[16]	0.166	0.016	0.134	0.166	0.197
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.544	0.036	0.475	0.544	0.613
beta4_dsr[12]	0.799	0.226	0.366	0.795	1.249
beta4_dsr[13]	-0.078	0.041	-0.160	-0.078	0.002
beta4_dsr[14]	-0.208	0.071	-0.350	-0.207	-0.071
beta4_dsr[15]	0.216	0.022	0.174	0.216	0.259
beta4_dsr[16]	-0.055	0.045	-0.142	-0.055	0.033
beta0_slope[11]	-2.209	0.021	-2.249	-2.209	-2.168
beta0_slope[12]	-4.984	0.192	-5.381	-4.984	-4.622
beta0_slope[13]	-1.500	0.034	-1.568	-1.500	-1.433
beta0_slope[14]	-2.712	0.051	-2.813	-2.710	-2.616
beta0_slope[15]	-1.592	0.022	-1.637	-1.593	-1.549
beta0_slope[16]	-2.661	0.037	-2.730	-2.661	-2.589
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.333	0.076	-0.489	-0.332	-0.183
beta4_slope[12]	-4.658	0.815	-6.395	-4.614	-3.124
beta4_slope[13]	0.326	0.053	0.221	0.326	0.434
beta4_slope[14]	-0.161	0.152	-0.472	-0.158	0.133
beta4_slope[15]	-0.360	0.034	-0.429	-0.360	-0.296
beta4_slope[16]	-0.136	0.102	-0.339	-0.133	0.063
beta5_slope[11]	3.065	0.104	2.870	3.061	3.270
beta5_slope[12]	2.005	0.390	1.276	1.989	2.829
beta5_slope[13]	0.877	0.078	0.726	0.880	1.029
beta5_slope[14]	3.754	0.352	3.107	3.736	4.496
beta5_slope[15]	1.305	0.072	1.166	1.304	1.445
beta5_slope[16]	2.728	0.237	2.291	2.720	3.220
tau_comp[1]	3.801	0.302	3.260	3.795	4.429
tau_comp[2]	2.863	0.256	2.404	2.847	3.396
tau_comp[3]	0.871	0.073	0.730	0.871	1.019
tau_comp[4]	1.793	0.274	1.314	1.777	2.378
tau_comp[5]	1.290	0.187	0.958	1.282	1.670
sigma_H[1]	0.208	0.049	0.121	0.204	0.310
sigma_H[2]	0.175	0.029	0.127	0.172	0.238
sigma_H[3]	0.187	0.040	0.114	0.185	0.269
sigma_H[4]	0.458	0.080	0.324	0.449	0.640
sigma_H[5]	0.960	0.203	0.599	0.948	1.395
sigma_H[6]	0.534	0.191	0.149	0.529	0.914
sigma_H[7]	0.310	0.061	0.215	0.303	0.454
sigma_H[8]	0.419	0.099	0.253	0.411	0.622
sigma_H[9]	0.510	0.116	0.327	0.494	0.778
sigma_H[10]	0.211	0.039	0.144	0.209	0.296
sigma_H[11]	0.266	0.043	0.194	0.263	0.365
sigma_H[12]	0.379	0.145	0.198	0.336	0.713
sigma_H[13]	0.217	0.036	0.156	0.214	0.297
sigma_H[14]	0.499	0.089	0.349	0.491	0.691
sigma_H[15]	0.231	0.038	0.167	0.228	0.313
sigma_H[16]	0.214	0.041	0.149	0.209	0.309
lambda_H[1]	2.133	3.227	0.076	1.021	11.178
lambda_H[2]	5.103	4.738	0.466	3.697	17.823
lambda_H[3]	5.491	7.875	0.281	2.914	27.130
lambda_H[4]	0.007	0.004	0.001	0.005	0.018
lambda_H[5]	2.674	6.678	0.023	0.695	20.697
lambda_H[6]	5.894	12.680	0.008	0.299	43.591
lambda_H[7]	0.012	0.009	0.002	0.010	0.034
lambda_H[8]	7.608	9.920	0.096	3.921	37.733
lambda_H[9]	0.015	0.010	0.003	0.013	0.041
lambda_H[10]	0.225	0.275	0.024	0.152	0.784
lambda_H[11]	0.234	0.345	0.010	0.114	1.116
lambda_H[12]	3.826	5.236	0.206	2.211	17.805
lambda_H[13]	3.110	2.811	0.260	2.285	10.419
lambda_H[14]	3.243	3.777	0.205	2.067	13.411
lambda_H[15]	0.018	0.018	0.003	0.014	0.060
lambda_H[16]	0.559	0.981	0.031	0.271	2.883
mu_lambda_H[1]	4.094	1.900	1.017	3.867	8.243
mu_lambda_H[2]	3.708	1.940	0.504	3.566	7.822
mu_lambda_H[3]	3.375	1.826	0.750	3.093	7.640
sigma_lambda_H[1]	8.152	4.340	1.695	7.501	18.254
sigma_lambda_H[2]	8.126	4.668	0.813	7.620	18.251
sigma_lambda_H[3]	6.231	3.989	1.042	5.397	16.133
beta_H[1,1]	6.489	1.332	3.299	6.736	8.474
beta_H[2,1]	9.732	0.637	8.295	9.793	10.833
beta_H[3,1]	7.840	0.783	5.998	7.942	9.164
beta_H[4,1]	10.621	7.704	-4.807	10.616	25.554
beta_H[5,1]	-0.306	2.603	-5.689	-0.183	4.171
beta_H[6,1]	3.067	4.363	-7.688	4.577	8.202
beta_H[7,1]	1.103	5.642	-11.397	1.414	11.100
beta_H[8,1]	1.320	3.978	-2.654	1.235	3.518
beta_H[9,1]	13.662	5.719	2.514	13.549	25.445
beta_H[10,1]	6.805	1.840	2.942	6.839	10.363
beta_H[11,1]	4.871	3.549	-2.983	5.549	9.899
beta_H[12,1]	2.585	1.059	0.651	2.521	4.940
beta_H[13,1]	9.072	0.915	7.147	9.137	10.625
beta_H[14,1]	2.135	1.041	0.020	2.156	4.164
beta_H[15,1]	-7.046	3.344	-13.310	-7.189	-0.078
beta_H[16,1]	3.939	3.007	-0.750	3.479	10.906
beta_H[1,2]	7.773	0.269	7.228	7.776	8.274
beta_H[2,2]	9.884	0.165	9.567	9.885	10.200
beta_H[3,2]	8.801	0.198	8.416	8.801	9.209
beta_H[4,2]	3.013	1.470	0.153	2.980	6.037
beta_H[5,2]	1.757	0.998	-0.154	1.752	3.752
beta_H[6,2]	6.028	1.071	3.570	6.192	7.691
beta_H[7,2]	2.409	1.063	0.503	2.336	4.699
beta_H[8,2]	3.002	1.123	1.288	3.156	4.251
beta_H[9,2]	3.131	1.097	1.056	3.101	5.422
beta_H[10,2]	8.036	0.369	7.253	8.042	8.748
beta_H[11,2]	9.822	0.639	8.862	9.710	11.256
beta_H[12,2]	3.919	0.362	3.235	3.910	4.676
beta_H[13,2]	9.157	0.244	8.715	9.146	9.639
beta_H[14,2]	4.029	0.344	3.366	4.032	4.726
beta_H[15,2]	11.548	0.608	10.288	11.573	12.705
beta_H[16,2]	4.458	0.812	2.965	4.440	6.118
beta_H[1,3]	8.455	0.266	7.981	8.445	8.986
beta_H[2,3]	9.881	0.151	9.583	9.881	10.179
beta_H[3,3]	9.471	0.163	9.146	9.469	9.800
beta_H[4,3]	-2.107	0.862	-3.796	-2.082	-0.528
beta_H[5,3]	3.890	0.620	2.579	3.901	5.082
beta_H[6,3]	8.355	1.161	6.670	8.057	10.793
beta_H[7,3]	-2.585	0.626	-3.785	-2.578	-1.369
beta_H[8,3]	5.321	0.540	4.700	5.241	6.395
beta_H[9,3]	-2.663	0.691	-4.107	-2.661	-1.355
beta_H[10,3]	8.571	0.278	8.028	8.570	9.134
beta_H[11,3]	8.504	0.291	7.871	8.523	9.021
beta_H[12,3]	5.284	0.304	4.565	5.320	5.792
beta_H[13,3]	8.861	0.179	8.488	8.866	9.207
beta_H[14,3]	5.786	0.268	5.188	5.807	6.245
beta_H[15,3]	10.274	0.299	9.679	10.270	10.878
beta_H[16,3]	5.963	0.614	4.736	5.987	7.092
beta_H[1,4]	8.096	0.184	7.724	8.107	8.429
beta_H[2,4]	9.861	0.130	9.590	9.868	10.103
beta_H[3,4]	9.968	0.155	9.624	9.981	10.248
beta_H[4,4]	11.799	0.461	10.893	11.807	12.680
beta_H[5,4]	5.582	0.737	4.401	5.504	7.229
beta_H[6,4]	7.194	0.901	5.310	7.441	8.458
beta_H[7,4]	8.541	0.347	7.820	8.546	9.219
beta_H[8,4]	6.735	0.269	6.200	6.741	7.205
beta_H[9,4]	7.422	0.450	6.546	7.406	8.360
beta_H[10,4]	7.530	0.226	7.112	7.525	7.985
beta_H[11,4]	9.507	0.191	9.126	9.510	9.875
beta_H[12,4]	7.241	0.192	6.860	7.242	7.626
beta_H[13,4]	9.066	0.141	8.770	9.070	9.331
beta_H[14,4]	7.834	0.217	7.416	7.833	8.279
beta_H[15,4]	9.472	0.225	9.034	9.475	9.918
beta_H[16,4]	9.414	0.247	8.960	9.411	9.892
beta_H[1,5]	8.898	0.159	8.567	8.904	9.199
beta_H[2,5]	10.672	0.101	10.479	10.669	10.879
beta_H[3,5]	10.761	0.155	10.480	10.755	11.076
beta_H[4,5]	8.352	0.486	7.410	8.345	9.327
beta_H[5,5]	5.178	0.631	3.611	5.260	6.201
beta_H[6,5]	8.969	0.636	8.031	8.839	10.361
beta_H[7,5]	6.570	0.349	5.882	6.561	7.262
beta_H[8,5]	8.251	0.214	7.884	8.238	8.698
beta_H[9,5]	8.199	0.444	7.284	8.205	9.099
beta_H[10,5]	10.039	0.227	9.579	10.044	10.492
beta_H[11,5]	11.594	0.221	11.175	11.591	12.032
beta_H[12,5]	8.604	0.182	8.263	8.603	8.972
beta_H[13,5]	10.142	0.129	9.901	10.140	10.397
beta_H[14,5]	9.249	0.218	8.844	9.243	9.692
beta_H[15,5]	11.306	0.238	10.840	11.309	11.768
beta_H[16,5]	9.836	0.181	9.479	9.841	10.180
beta_H[1,6]	10.127	0.244	9.751	10.091	10.738
beta_H[2,6]	11.473	0.114	11.251	11.469	11.702
beta_H[3,6]	10.616	0.157	10.299	10.623	10.903
beta_H[4,6]	12.906	0.872	11.178	12.926	14.571
beta_H[5,6]	5.682	0.658	4.583	5.644	7.177
beta_H[6,6]	8.740	0.580	7.442	8.786	9.834
beta_H[7,6]	10.541	0.607	9.361	10.554	11.752
beta_H[8,6]	9.524	0.274	9.038	9.541	9.972
beta_H[9,6]	8.272	0.763	6.825	8.267	9.866
beta_H[10,6]	9.142	0.346	8.411	9.169	9.758
beta_H[11,6]	10.700	0.363	9.935	10.730	11.352
beta_H[12,6]	9.371	0.224	8.948	9.358	9.845
beta_H[13,6]	11.095	0.151	10.807	11.093	11.418
beta_H[14,6]	9.915	0.282	9.341	9.925	10.447
beta_H[15,6]	10.560	0.418	9.755	10.564	11.362
beta_H[16,6]	10.592	0.250	10.054	10.603	11.076
beta_H[1,7]	10.127	1.270	6.743	10.415	11.856
beta_H[2,7]	12.113	0.508	10.995	12.153	13.025
beta_H[3,7]	10.290	0.660	8.842	10.350	11.444
beta_H[4,7]	1.426	4.449	-7.072	1.389	10.292
beta_H[5,7]	5.738	2.168	1.452	5.849	9.923
beta_H[6,7]	7.201	3.213	-0.883	8.336	11.071
beta_H[7,7]	7.669	3.063	1.421	7.663	13.700
beta_H[8,7]	10.885	1.073	9.171	10.853	12.648
beta_H[9,7]	5.025	3.979	-3.139	5.126	12.598
beta_H[10,7]	10.016	1.637	7.196	9.831	13.668
beta_H[11,7]	11.325	1.783	8.115	11.119	15.320
beta_H[12,7]	9.799	0.917	7.730	9.874	11.379
beta_H[13,7]	11.703	0.714	10.058	11.763	12.908
beta_H[14,7]	10.626	0.913	8.766	10.653	12.317
beta_H[15,7]	13.885	2.186	9.551	13.894	18.123
beta_H[16,7]	12.849	1.367	10.483	12.738	15.863
beta0_H[1]	8.213	18.251	-28.067	8.656	44.233
beta0_H[2]	10.739	8.137	-5.417	10.688	27.854
beta0_H[3]	9.823	9.884	-9.756	9.873	30.200
beta0_H[4]	3.950	177.697	-374.155	6.330	374.062
beta0_H[5]	4.550	28.430	-48.260	4.154	63.775
beta0_H[6]	5.954	52.749	-107.586	7.264	121.956
beta0_H[7]	5.853	140.816	-281.466	3.489	289.705
beta0_H[8]	7.065	37.298	-18.636	6.493	28.961
beta0_H[9]	6.805	122.824	-236.044	3.880	256.737
beta0_H[10]	8.013	38.091	-70.290	7.958	83.546
beta0_H[11]	9.654	51.823	-106.312	9.941	118.762
beta0_H[12]	6.495	11.607	-17.296	6.385	29.894
beta0_H[13]	10.167	11.895	-9.574	10.165	31.793
beta0_H[14]	7.499	11.384	-16.418	7.419	30.988
beta0_H[15]	8.150	114.970	-221.425	7.547	239.476
beta0_H[16]	7.681	29.583	-48.506	7.573	71.512

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025